Descriptions of novice-expert differences, reasoning strategies, explanation-based learning, etc. are descriptions of how people create and use models within a representational language, when interacting with their environment in cycles of perceiving and acting. To complement these descriptions, we need to understand how representational languages are created
In this work, the problems of knowledge acquisition and information processing are explored in relat...
<span>The paper describes the principles underlying situated cognition linked to the Vygotskian so...
Computational Theories of Mind try to model the mental economy of thoughts by using syntactic repres...
Representations have been viewed as the essential concern of cognitive science, yet few studies have...
This chapter develops two themes about the conceptual system: modal simulations underlie conceptual ...
Rather than conceiving of learning on demand as finally memorizing someone elses theory, we might c...
Situation theorists such as John Barwise, John Etchemendy, John Perry and François Recanati have put...
Based on accumulating evidence, simulation appears to be a basic computational mechanism in the brai...
The theory of situated learning claims that every idea and human action is a generalization, adapted...
The perspective of modeling knowledge in Artificial Intelligence is that these models are equal to ...
Recent theories of cognition recognize the importance of context in cognitive tasks. However, many t...
We propose a computational model of situated language comprehension based on the Indexical Hy-pothes...
Our utterances are typically if not always ‘‘situated,'' in the sense that they are true or false re...
Common critiques of natural language processing (NLP) methods cite their lack of multimodal sensory ...
Cognition has for a long time been viewed as a process that can be described in terms of computation...
In this work, the problems of knowledge acquisition and information processing are explored in relat...
<span>The paper describes the principles underlying situated cognition linked to the Vygotskian so...
Computational Theories of Mind try to model the mental economy of thoughts by using syntactic repres...
Representations have been viewed as the essential concern of cognitive science, yet few studies have...
This chapter develops two themes about the conceptual system: modal simulations underlie conceptual ...
Rather than conceiving of learning on demand as finally memorizing someone elses theory, we might c...
Situation theorists such as John Barwise, John Etchemendy, John Perry and François Recanati have put...
Based on accumulating evidence, simulation appears to be a basic computational mechanism in the brai...
The theory of situated learning claims that every idea and human action is a generalization, adapted...
The perspective of modeling knowledge in Artificial Intelligence is that these models are equal to ...
Recent theories of cognition recognize the importance of context in cognitive tasks. However, many t...
We propose a computational model of situated language comprehension based on the Indexical Hy-pothes...
Our utterances are typically if not always ‘‘situated,'' in the sense that they are true or false re...
Common critiques of natural language processing (NLP) methods cite their lack of multimodal sensory ...
Cognition has for a long time been viewed as a process that can be described in terms of computation...
In this work, the problems of knowledge acquisition and information processing are explored in relat...
<span>The paper describes the principles underlying situated cognition linked to the Vygotskian so...
Computational Theories of Mind try to model the mental economy of thoughts by using syntactic repres...